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Record W2920825383 · doi:10.1161/atvb.38.suppl_1.669

Abstract 669: Apabetalone (rvx-208) Decreases Risk of Major Adverse Cardiovascular Events in Diabetes Mellitus Patients With Cvd by Attenuating Monocyte Adhesion to Endothelial Cells

2018· article· en· W2920825383 on OpenAlexaff
Laura Tsujikawa, Ewelina Kulikowski, Cyrus Calosing, Sylwia Wasiak, Dean Gilham, Christopher Halliday, Jan Johansson, Mike Sweeney, Norman C.W. Wong

Bibliographic record

VenueArteriosclerosis Thrombosis and Vascular Biology · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsResverlogix (Canada)
Fundersnot available
KeywordsBromodomainFarnesoid X receptorChemistryEpigeneticsEndocrinologyInternal medicineAcetylationMonocyteBiochemistryBiologyGeneMedicineTranscription factorNuclear receptor

Abstract

fetched live from OpenAlex

Apabetalone (RVX-208, 200 mg/d) given orally to patients with diabetes mellitus (DM) and CVD leads to a 57% relative risk reduction in major adverse cardiovascular events (MACE). Potential actions of RVX-208, an inhibitor (BETi) of bromodomain extra-terminal (BET) proteins that are epigenetic readers of acetylated lysine residues within histones, in lowering MACE is explored by testing its effect on genes mediating monocyte adhesion to endothelial cells in response to high glucose (HG) and the dietary metabolite trimethyl-amine oxide (TMAO). Cultured THP-1 monocytes, HUVEC endothelial cells and primary human hepatocytes (PHH) were exposed to varying concentrations of glucose and TMAO. Results showed that HG (25.6 mM) induced Very Late Antigen-4 (VLA-4) mRNA, a gene mediating THP-1 adhesion by 1.3-fold and RVX-208 suppressed it >50%. Similarly, BETi blocked TMAO induction of VLA-4 mRNA by >50% in THP-1. In HUVECs RVX-208 abrogated HG induction of E-selectin and MYD88 mRNA by 2- and 1.3-fold, respectively and lowered TMAO induction of these mRNAs by >50%. Microbiome processing of dietary phospholipids followed by hepatic flavin mono-oxygenase-3 (FMO3) metabolism yields TMAO. In PHH exposed for 24 hrs to RVX-208, FMO3 mRNA was lower by 40% but it also suppressed a transcriptional regulator of FMO3, farnesoid X receptor (FXR). BETi suppressed both FXR mRNA and protein within 6 hrs by >80% suggesting a direct effect of BETi on the gene encoding FXR. Furthermore, ChiP data showed that BRD4, a BET protein, dissociated immediately from FXR gene upon exposure to RVX-208. Since BRD4 guides a complex containing RNA pol II along actively transcribed genes containing histones that are highly acetylated, the dissociation of BRD4 from FXR DNA would halt transcription of this gene. In summary, Apabetalone inhibits HG and TMAO enhanced adhesion of THP-1 to HUVECs a process that mimics a step in the pathogenesis of CVD. RVX-208 suppresses genes underlying cellular adhesion; VLA-4 in THP-1 and both E-selectin plus MYD88 in HUVECs. BETi blocks not only activity of TMAO but also its production by inhibiting FXR expression, a regulator of FMO3 gene transcription. The rapid actions of BETi in dissociating BRD4 from FXR DNA suggests a direct effect of RVX-208 on transcription of this gene.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.234
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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